Global impact of the COVID-19 lockdown on surface concentration and health risk of atmospheric benzene

Ling, Chaohao; Cui, Lulu; Li, Rui

doi:https://doi.org/10.5194/acp-23-3311-2023

Articles | Volume 23, issue 5

https://doi.org/10.5194/acp-23-3311-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-3311-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 5

Research article

|

16 Mar 2023

Research article |

| 16 Mar 2023

Global impact of the COVID-19 lockdown on surface concentration and health risk of atmospheric benzene

Chaohao Ling, Lulu Cui, and Rui Li

Supplement

https://doi.org/10.5194/acp-23-3311-2023-supplement

Data sets

CEDS_GBD-MAPS: Global Anthropogenic Emission Inventory of NOx, SO2, CO, NH3, NMVOCs, BC, and OC from 1970-2017 (2020_v1.0) Erin McDuffie, Steven Smith, Patrick O'Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloise Marais, Bo Zheng, Monica Crippa, Michael Brauer, and Randall Martin https://doi.org/10.5281/zenodo.3754964

MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office https://doi.org/10.5067/QBZ6MG944HW0

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Short summary

An ensemble machine-learning model coupled with chemical transport models (CTMs) was applied to assess the impact of COVID-19 on ambient benzene. The change ratio of the deweathered benzene concentration from the pre-lockdown to lockdown period was in the order of India (−23.6 %) > Europe (−21.9 %) > the United States (−16.2 %) > China (−15.6 %), which might be associated with local serious benzene pollution and substantial emission reduction in the industrial and transportation sectors.